Machine Learning Scientist II

Summary

Join Tripadvisor's Machine Learning Team as an ML II Scientist and contribute to our Performance Marketing efforts. You will leverage your modeling skills to tackle diverse problems, including online advertising bidding, customer modeling, and revenue optimization. You'll utilize cutting-edge tools and large datasets, deploying solutions and observing real-time impact. This role demands independence, curiosity, and collaboration within a multidisciplinary team. You'll own projects and identify new opportunities for machine learning applications. Tripadvisor fosters a culture of personal development with various opportunities for growth and learning.

Requirements

• PhD or Masters in Computer Science, Engineering, Statistics, or related field preferred (or masters with 2+ years of practical experience)
• Knowledge of AB test design and analysis
• Strong background in machine learning and statistics
• Solid foundation on data structures and algorithms
• Proficiency in Python for numerical/statistical programming (our group relies heavily on Numpy/Pandas/Scikit-learn)
• Ability to interpret and write complex SQL queries
• Experience with big data technologies, such as Hive and Spark
• Track record of leading the deployment and maintenance of models

Responsibilities

• Use machine learning models to solve a variety of core business problems across performance marketing
• Seek out new opportunities to apply data science and machine learning in the performance marketing space across all channels (e.g., Web, email, paid marketing)
• Automate ETL pipelines
• Prototype, evaluate, deploy and maintain new models in production
• Design AB tests and analyze their results
• Discover new ways to analyze and interpret the data
• Communicate progress and interpretation of experimental results to technical and business stakeholders

Benefits

• Culture of personal development, including social activities, journal clubs, memberships in online learning resources, and participation in industry conferences
• Remote work